International Journal of Hospital Research
Volume:10 Issue: 4, Autumn 2021

The present study aimed at modeling distress tolerance of couples with marital infidelity based on psychological capital and defective metacognitive beliefs through psychological flexibility.

The method of this study was descriptive-survey with structural equation correlation design. The statistical population of the study included all married men and women experienced marital infidelity and referred to family counseling centers in Tehran in the first half of 2019. Cluster random sampling method was used in this study. The selected sample of the present study included 400 men and women who were evaluated using a questionnaire individually. Data were collected using demographic characteristics questionnaires, distress tolerance scale, psychological capital questionnaire, psychological flexibility questionnaire, and metacognitive beliefs questionnaire. AMOS and Spss22 software was used for data analysis.

The results revealed that the model designed to explain distress tolerance in couples with marital infidelity had acceptable fit indices. Accordingly, the relationship between psychological capital and defective metacognitive beliefs variables and distress tolerance was confirmed with mediating role of psychological flexibility in the form of path analysis. Therefore, the variable of psychological flexibility played facilitator role in the relationship between psychological capital and distress tolerance, while psychological flexibility moderated and reduced the relationship between defective metacognitive beliefs and distress tolerance.

according to these results, it can be stated that in explaining the distress tolerance of people with marital infidelity, various factors such as psychological flexibility can play a mediating role and it can be stated that high flexibility facilitates and increases the effect of psychological capital on improving distress tolerance but moderates the role of defective metacognitive beliefs. Thus, based on these results, it is recommended to consider the role of individual variables of cognitive flexibility affecting anxiety tolerance.

Administrative corruption is an illegitimate tool in meeting the illegitimate demands of the administrative system and occurs in sectors such as hospitals, police and customs, and medical sciences departments. Corruption has many negative effects and consequences, such as destruction of economic and social structures, psychological pressures, and blocking development path of country. Hence, the present was an attempt to investigate the effect of psychological and motivational factors on organizational policies in reducing administrative corruption in the workplace of medical sciences staff.

The paper is applied in terms of aim and descriptive-correlational in terms of nature and survey in terms of method. The statistical population of the study included 1) 30 experts and professors in the field of public administration, who were purposefully selected. 2) 365 staff of medical sciences organizations in Kerman selected based on Cochran's formula by stratified sampling method. To collect information by Delphi method (in several stages and using face-to-face interviews), experts were asked to carefully examine the psychological and motivational factors and items obtained from literature review. Organizational structure questionnaire with components of complexity, focus, formality and 23 questions, organizational policy questionnaire with components of flexibility, attraction of resources and planning, access to information, stability, coherent and skilled workforce and 20 questions, administrative corruption questionnaire with components of inappropriate job behaviors, abuse, unknown activities, discrimination and negligence and 30 questions were developed.

Cronbach's alpha coefficient of variables was estimated to be higher than 0.7, which indicates the internal consistency of items and confirmation of reliability. To analyze the data, structural equation modeling in LISREL software was used. Results showed that the significant number between the variables of focus and organizational policies (2.07) was greater than 1.96 and the significant number between organizational policies and administrative corruption (-2.90) was less than -1.96, so there is an indirect relationship between focus and administrative corruption through organizational policies. A correlation coefficient of less than 0.3 indicates that the effect of organizational policies on the relationship between focus and administrative corruption in the medical is moderate.

The present study was an attempt to identify the model of the relationship between organizational structure and administrative corruption, considering the mediating role of organizational policies in medical science organizations in Kerman hospitals. It was concluded that proper planning to improve the leadership and assertive leadership styles among managers improve the efficacy of staff in medical institutes.

Paying attention to adolescents' mental health and good cognitive function is very important in societies. Therefore, the present study aimed to compare the effectiveness of adolescent-centered mindfulness and tDCS on improving executive functions (working memory, inhibition control and cognitive flexibility) in adolescent boys admitted to psychiatric hospitals in Tehran's second district.

This quasi-experimental study was performed as a pretest, posttest and one-month follow-up with a control group. The statistical population of the study consisted of all male adolescents admitted to psychiatric hospitals in Tehran's second district in 1397. 45 male adolescents who met the inclusion criteria were identified and randomly divided into three groups (adolescent-centered mindfulness, tDCS and control). Were. Fifteen people in the first experimental group (adolescent-centered mindfulness), 15 people in the second experimental group (tDCS) and 15 people in the control group were selected based on inclusion criteria and randomly assigned to the groups. Data collection tools included Go-Do test, n-back test and Wisconsin card classification test. Interventions for the first experimental group were adolescent-centered mindfulness and the second experimental group was tDCS and the control group did not receive any intervention. Mixed analysis of variance test was used to analyze the data.

The results of this study showed that there is no significant difference between the effect of adolescent-centered mindfulness and tDCS groups on improving executive functions (working memory, inhibition control and flexibility), but both treatments alone improve executive functions (working memory, inhibition control and flexibility) were effective.

Based on the findings, it can be concluded that adolescent-centered mindset and tDCS are effective in improving executive functions (working memory, inhibition control and cognitive flexibility) in adolescent boys admitted to psychiatric hospitals in Tehran's second district.

The aim of this study is to investigate the role of perceived organizational support in the relationship between career plateau and organizational citizenship behavior and organizational commitment.

The statistical population included all the staff and physicians of police hospitals in Tehran. After estimating the sample with simple random sampling method, 180 questionnaires were distributed and 152 were collected. The research has an applied purpose and descriptive (non-experimental) data collection design and is considered a field study and also in terms of the relationship between research variables, has a correlational design. Structural equation modeling is used to analyze the data.

The results of this research show an inverse relationship between career plateau and organizational citizenship behavior and commitment. Career plateau was also approved as an effective factor in reducing staff commitment in police hospitals. On the other hand, the results of this study indicate the existence of a relationship between perceived support by the organization with career plateau. This means that by creating organizational support, staff in hospitals will suffer less from career plateau.

A limited supply chain opportunity between blood donation and blood transfusion requires the optimization of each stage in the supply chain of the blood, and in particular, to achieve more effective blood supply management in blood centers and hospitals. Since previous research has not predicted blood demand by blood products and blood groups. So in this research, demand of blood blank products is predicated according to blood groups by using artificial neural networks (Case study: Zanjan blood Transfusion Network). 

A data set including information on all actual whole blood donations from 21 March 2014 to 21 September 2016 is obtained by Zanjan Blood Bank from the national donor database. .for this subject, Database of Zanjan blood Transfusion Network was used. The goal of this article is to use ANN model to evaluate trends in FFP, PLT and RBC with eight blood groups of A-, A+, AB-, AB+, B-, B+, O- and O+ demand and supply and to predict how these will develop over 30 months.

Findings show that the best model of artificial neural networks with different neurons in order to predict the demand for blood bank products by the blood groups in the transmission network of Zanjan province has two delays and five neurons in the hidden layer. Also, the results show that the error value is close to each other in all three blood products but has different values.

The results showed that this method is capable of predicting. Accordingly, in order to obtain more suitable models, future researchers are suggested to study the combination of artificial neural networks with meta-algorithms.

Cancer curing is a costly problem for either healthcare systems and patients in many countries. Cancer hospitals can provide all needed services simultaneously and increase cancer patients’ satisfaction by decreasing fatigue and stress. In this paper, the constructing efficient cancer hospitals in proper locations and also the allocating cancer patients to the nearest destination are considered to prevent the waste of money and cancer patients’ medical travelling problems.

A bi-objective mixed-integer linear mathematical model is developed to locate the cancer hospitals in candidate regions and allocate the cancer patients to proper destinations. The first objective minimises the total costs, consisting of cancer hospital construction costs and the cancer patients’ travelling-accommodation costs. The secondary one maximises the bed-capacity efficiency via minimising the overplus of bed-capacity. The model is solved by applying optimality grade approach on the data forecasted for Iran provinces in 2040. The linear regression models are fitted to predict the number of cancer new cases in Iran provinces until 2040.

Model’s solving results show that twenty-six provinces are selected to construct at least one cancer hospital there, and provinces with low density of cancer patients’ population such as Ilam and Markazi are not opted as destinations.

To conclude, the results of proposed model’s solving represents that most provinces of Iran need at least one cancer hospital in next two decades. This verifys the need for having a strategic planning in Iran’s cancer hospital network at present.

The purpose of the present article is to identify and examine the status of mental health and entrepreneurial organizational motivation components based on culture medicine based on the Islamic medicine.

The present research is applied and developmental in terms of purpose, and is survey in terms of method and is descriptive in terms of nature. The statistical population consists of two groups; 1) Experts familiar with the field of mental health and entrepreneurial organizational motivation based on culture (medicine), that 15 people were selected using a non-random sampling method of selective type. 2) The employees with expert and excellent organizational rank in the Ministry of Economic Affairs and Finance (7,789 people) that according to Cochran's formula, 400 people were selected as a sample by a random stratified method proportional to the class size. Identifying and screening mental health and entrepreneurial organizational motivation factors based on culture (medicine) was performed by Delphi technique. Finally, the questionnaire of mental health and entrepreneurial organizational motivation based on culture (medicine) was formed consisting of 60 questions. The content validity of the questionnaire was estimated to be 0.94.9. Cronbach's alpha coefficient was also estimated to be higher than 0.7, which indicated the confirmation of the reliability. Data analysis was performed using one-sample t-test by applying SPSS software.

Based on the final results, the mental health and entrepreneurial organizational motivation based on culture (medicine) had 6 dimensions of devotional jihadi work, spiritualistic individual entrepreneurship, benevolent interactions and working relationships, autonomous entrepreneurship, transformationalism and transcendence and pre-active innovation. Each of these dimensions has separate components that totally 20 components were collected. The results of measuring the status of mental health and entrepreneurial organizational motivation based on culture (medicine) in the Ministry of Economic Affairs and Finance and its components showed that the mean baseline was obtained 3.00 and also the P-value of Kolmogorov-Smirnov test (KS) (0.001) was smaller than the significance level (0.05) which showed that the variables are in the desired status.

This study concluded that the based on the results, applying Islamic work ethics in medical issues in organizational culture could improve performance of Iranian organizations.

The pharmaceutical supply chain should provide medicines in the right quantity, with the acceptable quality, to the right place and customers, at the right time and with optimum cost. Pharmaceutical companies, the most important player in the pharmaceutical supply chain, have a crucial role. An integrated approach in production planning and scheduling in pharmaceutical companies typically optimizes several consecutive stages in the pharmaceutical supply chain because these companies, are both linked to suppliers and distributors/end users. Hospitals are the most crucial end-user among the end-users because of the necessity of a massive amount of drugs to render service to a large number of patients in hospitals. Intravenous fluids and irrigation solutions help patients maintain the optimal internal temperature and increase comfort in hospitals during procedures like surgery or recovery. In this work, simultaneous production planning and scheduling in a real-world application, a production line of intravenous fluids and irrigation solutions at Darou Pakhsh Pharmaceutical Manufacturing Company is addressed.

A novel mixed-integer linear programming model is formulated for multi-period simultaneous production planning and scheduling. Since the problem is NP-hard in the strong sense, a memetic algorithm is proposed that reduces the computational effort of the problem. The chromosome representation is based on a permutation matrix, and a new algorithm is developed to construct a complete schedule from the permutation matrix through the planning horizon.

40 problems were investigated, containing 36 randomly generated instances and four real problems according to the data within the last two years. The generated instances were divided into small-sized, medium-sized, and large-sized instances. Among the 36 instances, 22 instances were optimally solved by both the exact method and the proposed memetic algorithm. The average gap for small-sized, medium-sized, and large-sized instances are respectively 0.00%, -1.15%, and -51.38%, indicating as the size of instances grows, the gap becomes considerable. The exact method could not reach an optimal solution for four real instances. The running time for real instances is expanded to 8 hours. The results revealed that the proposed memetic algorithm significantly outperformed the exact method in obtaining better solutions for real instances.

The computational results showed that the proposed memetic algorithm obtained optimal solutions on all the instances solved optimally by the exact method. It outperformed the exact method in other problems. This outperformance becomes more evident as the size of instances grows.